scholarly journals Mood Sensitive Stocks and Sustainable Cross-Sectional Returns During the COVID-19 Pandemic: An Analysis of Day of the Week Effect in the Chinese A-Share Market

2021 ◽  
Vol 12 ◽  
Author(s):  
Qurat ul Ain ◽  
Tamoor Azam ◽  
Tahir Yousaf ◽  
Muhammad Zeeshan Zafar ◽  
Yasmeen Akhtar
Keyword(s):  
Stock Returns ◽  
Investor Sentiment ◽  
Excess Returns ◽  
Chinese Market ◽  
Market Anomalies ◽  
Cross Sectional ◽  
Day Of The Week ◽  
Stock Market Anomalies ◽  
New Evidence ◽  
A Share

This study examines two stock market anomalies and provides strong evidence of the day-of-the-week effect in the Chinese A-share market during the COVID-19 pandemic. Specifically, we examined the Quality minus Junk (QMJ) strategy return on Monday and FridayQuality stocks mean portfolio deciles that earn higher excess returns. As historical evidences suggest that less distressed/safe stocks earn higher excess returns (Dichev, 1998).. The QMJ factor is similar to the division of speculative and non-speculative stocks described by Birru (2018). Our findings provide evidence that the QMJ strategy gains negative returns on Fridays for both anomalies because the junk side is sensitive to an elevated mood and, thus, performs better than the quality side of portfolios on Friday. Our findings are also consistent with the theory of investor sentiment which asserts that investors are more optimistic when their mood is elevated, and generally individual mood is better on Friday than on other days of the week. Therefore, the speculative stocks earned higher sustainable stock returns during higher volatility in Chinese market due to COVID-19. Intrinsically, new evidence emerges on an inclined strategy to invest in speculative stocks on Fridays during the COVID-19 pandemic to gain sustainable excess returns in the Chinese A-share market.

Stock Market Anomalies

2017 ◽  
Author(s):  
Steve Fan ◽  
Linda Yu
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Financial Economic ◽  
Economic Research ◽  
Market Anomalies ◽  
Cross Sectional ◽  
Additional Risk ◽  
Asset Pricing Models ◽  
Stock Market Anomalies

Stock market anomalies representing the predictability of cross-sectional stock returns are one of most controversial topics in financial economic research. This chapter reviews several well-documented and pervasive anomalies in the literature, including investment-related anomalies, value anomalies, momentum and long-term reversal, size, and accruals. Although anomalies are widely accepted, much disagreement exists on the underlying reasons for their predictability. This chapter surveys two competing theories that attempt to explain the presence of stock market anomalies: rational and behavioral. The rational explanation focuses on the improvement of the existing asset pricing models and/or searching for additional risk factors to explain the existence of anomalies. By contrast, the behavioral explanation attributes the predictability to human behavioral biases in collecting and processing financial information, as well as in making investment decisions.

Evidence for Some Underlying Time Series Momentum

2014 ◽  
pp. 205-217
Author(s):  
Faten Zoghlami
Keyword(s):  
Time Series ◽  
Stock Market ◽  
Stock Returns ◽  
Excess Returns ◽  
Momentum Strategy ◽  
Cross Sectional ◽  
Times Series ◽  
Before And After ◽  
Main Driver ◽  
Full Rationality

The chapter documents significant and momentary momentum pattern in stock returns times series. Moreover, the chapter gives evidence that this time series momentum is the main driver of the cross-sectional momentum pattern. The temporary time series momentum pattern is midway between the behavioural and rational financial theories. Given the strong and positive autocorrelation in stock returns time series, the authors argue that investors are temporary under reacting, and they progressively find their full rationality. Using monthly returns inherent to all stocks listed on Tunisian stock market, from January 2000 to December 2009, the authors examine momentum strategy’s excess returns before and after considering time series momentum in stocks returns. Results show that momentum strategy is still profitable, but no longer puzzling. Furthermore, the chapter aims to reconcile between the behavioural and the rational financial theories, through the introduction of the progressive investors rationality.

scholarly journals Taming the Factor Zoo: New Evidence from China

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Dongxu Chen ◽  
Xieyang Shen ◽  
Tao Liu
Keyword(s):  
Stock Market ◽  
Significant Role ◽  
Factor Model ◽  
Chinese Stock Market ◽  
Cross Sectional ◽  
Pricing Factors ◽  
New Evidence ◽  
A Share

We address the well-known “factor zoo” problem in the Chinese stock market. By replicating a generation of pricing factors, we verify the Liu–Stambaugh–Yuan four-factor model which subsumes other counterparts in the Chinese A-share market. We further construct a characteristic library and apply the double-selection LASSO approach to explore whether significant anomalies contribute to current pricing factors. We find that some anomalies indeed play a significant role in pricing cross-sectional returns, but the improvement to the Liu–Stambaugh–Yuan four-factor model is limited.

scholarly journals Stock market anomalies: the day of the week effects, evidence from Borsa Istanbul

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Hülya Cengiz ◽  
Ömer Bilen ◽  
Ali Hakan Büyüklü ◽  
Gülizar Damgacı
Keyword(s):  
Stock Market ◽  
Market Anomalies ◽  
Day Of The Week ◽  
Stock Market Anomalies
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